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Datorios

by Datorios · Since 2020
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ActiveAvailable globallyCloud
Quick facts
VendorDatorios
Year launched2020
StatusActive
LocationPalo Alto, California
Countries servedGlobal
Languages7
Integrations14+
Free tierN/A
Free trialN/A
Contact salesN/A

About Datorios

Datorios is an observability software from Datorios that supports real-time data management for streaming-driven systems. It provides advanced observability, validation, and compliance features so businesses can trust their data for automation. Built with a data-first approach, Datorios assists organizations in ensuring that their real-time data is reliable and compliant with industry standards. The platform includes options like Bring the Own Cloud (BYOC) and features an overview walkthrough video for onboarding. Key capabilities: advanced observability data validation compliance monitoring real-time alerts customizable integrations Best for: enterprises that need reliable oversight of their real-time data for business automation.

Datorios emerges as a powerful and highly specialized observability platform tailored for real-time data pipelines, particularly those built with Apache Flink. Unlike traditional ETL tools that center on data movement and transformation, Datorios focuses on ensuring that data flowing through complex streaming systems is visible, trustworthy, and fully accountable. In today’s data landscape—where businesses increasingly depend on real-time insights and agentic AI for automation and strategic decisions—Datorios fills a critical gap by offering deep observability into performance, data quality, compliance, and reliability. Its capabilities enable data teams to move beyond reactive monitoring and into proactive, intelligent oversight of their streaming data infrastructure. The user experience in Datorios appears to be carefully designed for data engineers and operations teams who require quick insight into complex issues. Although direct visuals of the dashboard are limited, the platform emphasizes an intuitive and interactive interface, complete with features like record filtering, time window investigations, and in-depth data tracing.

Pros & Cons

Pros
  • Purpose-Built for Real-Time AI: Designed specifically for Apache Flink and other streaming data platforms like Kafka and Pulsar.
  • Deep Observability: Offers tracing, data lineage, and compliance tools to monitor and debug real-time pipelines.
  • Correlated Traces: Links data, code, and infrastructure to pinpoint root causes of issues quickly.
  • Interactive Dashboards: Visual tools for exploring job graphs, state changes, and event flows.
  • Low Overhead: Observability tools run externally to Flink jobs, preserving system performance.
  • Developer-Friendly: Supports CI/CD, test automation, and version control for streamlined dev cycles.
  • Free to Explore: Publicly available with minimal limitations for trial and experimentation.
Cons
  • Flink-Centric: Primarily optimized for Apache Flink, which may limit utility for teams using other stream processors.
  • Setup Complexity: Requires integration with existing Flink environments, which may involve a learning curve.
  • Enterprise Focus: Tailored for large-scale, mission-critical systems—may be overkill for smaller or simpler use cases.

Features

Key features

Real-Time Observability for Apache Flink

Provides unparalleled visibility into real-time data streams specifically for Apache Flink applications.

Tracing and Data Lineage

Enables reverse-engineering and extracting missing data traces, and understanding the flow of data for debugging and compliance.

Proactive Data Validity

Helps ensure the accuracy and trustworthiness of real-time data to fuel agentic AI.

Compliance Support

Dramatically reduces audit and compliance times through its data lineage capabilities.

Integration with Real-Time Data Technologies

Built to integrate with Apache Flink, Kafka, Pulsar, Druid, and Pinot for comprehensive monitoring.

Bring Your Own Cloud (BYOC) Deployment

Allows users to deploy Datorios directly within their own cloud environment for enhanced data control and security.

Additional features

Real-Time Business Automation Observability

Provides oversight and insights for automated business processes.

Tracing

Reverse-engineers and extracts missing data traces to enrich existing metrics for effective real-time observability.

Integration (Correlation)

Allows correlation of data, logs, and metrics when they matter most.

Proactive Data Validity

Ensures data accuracy and trustworthiness in real-time.

Compliance

Facilitates meeting regulatory and audit requirements.

Data-First Company Approach

Focuses on solving the real-time observability gap for real-time applications.

Operational Insights

Provides detailed overviews of Flink jobs, session data, statistics, and processed record tracking.

State Evolution Monitoring

Monitors state changes throughout operator event processing, offering insights into operator behavior.

Flink States and Checkpointing Visibility

Provides deep visibility into Flink states and checkpoint execution to understand performance impact.

Resource Utilization, Throughput, and Latency Insights

Offers real-time insights into resource consumption and performance metrics across Flink jobs.

Issue Detection

Detects problems in Flink pipelines instantly, including late data, discarded records, or performance stalls.

Root Cause Analysis

Enables seamless investigation to identify and resolve issues quickly.

Detailed Log Capture

Captures and stores detailed logs for every event processed by Apache Flink.

State Investigation

Allows users to see how state changes over time for insights into operator behavior.

Time Window Analysis

Visualizes various time windows to identify events and detect missing data.

Data Lineage

Tracks the flow of data with upstream and downstream lineage.

Optimized for Apache Flink

Specifically built for Apache Flink, offering unique features and insights.

Empowers Data Teams

Provides tools for data engineers, operations teams, and heads of data to manage Flink jobs effectively.

Actionable Insights

Delivers real-time data and insights for informed decision-making.

SOC 2 Type II Certified Security

Ensures high-level data security and compliance.

Record Metadata Collection

Collects metadata related to data records.

State Data Collection

Gathers data about the system's state.

Window Details Collection

Collects information regarding data windows.

Logs and Metrics Collection

Gathers logs and performance metrics from Flink.

Docker and Kubernetes Installation Support

Supports deployment via Docker and Kubernetes.

Bring Your Own Cloud (BYOC)

Allows running the observability platform directly within the user's cloud environment.

Full Ownership and Control (BYOC)

Provides complete control over resource allocation, scaling, and data flow in BYOC deployments.

Cost Savings (BYOC)

Leverages existing infrastructure to control resource management and allocation.

Apache Flink® Guides

Provides resources and guides specifically for Apache Flink.

Documentation

Offers comprehensive software documentation.

Slack Community

Provides a platform for community interaction and support.

Github

Likely hosts code or resources on Github.

Releases

Provides information on software releases.

One Pager

Offers a concise overview of the product.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
7
Interface languages
19
Billing currencies

Interface languages

EnglishSpanishFrenchGermanDutchItalianPortuguese

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF🇨🇳CNY🇸🇪SEK🇳🇴NOK🇳🇿NZD🇩🇰DKK🇭🇰HKD🇰🇷KRW🇸🇬SGD🇮🇳INR🇷🇺RUB🇿🇦ZAR🇧🇷BRL

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